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From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.CL2026

PalmClaw: A Native On-Device Agent Framework for Mobile Phones

Hongru Cai, Yongqi Li, Ran Wei +1

PalmClaw is an open‑source framework that runs large language model agents directly on mobile phones, exposing device capabilities as explicit tools to improve task success and spe…

cs.CL2026

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment

Hongru Cai, Yongqi Li, Tiezheng Yu +4

Alignment of Large Language Models (LLMs) aims to align outputs with human preferences, and personalized alignment further adapts models to individual users. This relies on persona…

cs.AI2026

Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning

Dongjie Cheng, Yongqi Li, Zhixin Ma +5

Multimodal Large Language Models (MLLMs) are making significant progress in multimodal reasoning. Early approaches focus on pure text-based reasoning. More recent studies have inco…

cs.CL2026

Agent-as-a-Judge

Runyang You, Hongru Cai, Caiqi Zhang +5

LLM-as-a-Judge has revolutionized AI evaluation by leveraging large language models for scalable assessments. However, as evaluands become increasingly complex, specialized, and mu…

cs.IR2025

Exploring Training and Inference Scaling Laws in Generative Retrieval

Hongru Cai, Yongqi Li, Ruifeng Yuan +4

Generative retrieval reformulates retrieval as an autoregressive generation task, where large language models (LLMs) generate target documents directly from a query. As a novel par…

cs.CL2025

Large Language Models Empowered Personalized Web Agents

Hongru Cai, Yongqi Li, Wenjie Wang +4

Web agents have emerged as a promising direction to automate Web task completion based on user instructions, significantly enhancing user experience. Recently, Web agents have evol…